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Integration of Facial Thermography in EEG-based Classification of ASD 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 837-854
作者:  Dilantha Haputhanthri;  Gunavaran Brihadiswaran;  Sahan Gunathilaka;  Dulani Meedeniya;  Sampath Jayarathna;  Mark Jaime;  Christopher Harshaw
浏览  |  Adobe PDF(1617Kb)  |  收藏  |  浏览/下载：222/66  |  提交时间：2021/02/22
Autism spectrum disorder  facial thermography  EEG signal processing  machine learning  decision support system  ASDGenus.  
Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122
作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi
Adobe PDF(1536Kb)  |  收藏  |  浏览/下载：166/65  |  提交时间：2021/02/22
Brain-computer interface (BCI)  classification  electroencephalography (EEG)  gravitational search algorithm (GSA)  multi-layer perceptron neural network (MLP-NN)  particle swarm optimization.  
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 44-54
作者:  Chang-Hao Zhu;  Jie Zhang
Adobe PDF(1138Kb)  |  收藏  |  浏览/下载：145/49  |  提交时间：2021/02/22
Polymer melt index  soft sensor  deep learning  deep belief network (DBN)  unsupervised training.  
Hidden Markov Model Approach for Software Reliability Estimation with Logic Error 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 305-320
作者:  R. Bharathi;  R. Selvarani
浏览  |  Adobe PDF(1248Kb)  |  收藏  |  浏览/下载：201/72  |  提交时间：2021/02/22
Hidden Markov model (HMM)  reliability  logic error  safety critical  software failure.  
Modeling of a Smart Nano Force Sensor Using Finite Elements and Neural Networks 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 279-291
作者:  Farid Menacer;  Abdelmalek Kadr;  Zohir Dibi
浏览  |  Adobe PDF(1651Kb)  |  收藏  |  浏览/下载：183/55  |  提交时间：2021/02/22
Nano force  sensor  carbon nanotube (CNT)  finite elements  neural network.  
Tracking Registration Algorithm for Augmented Reality Based on Template Tracking 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 257-266
作者:  Peng-Xia Cao;  Wen-Xin Li;  Wei-Ping Ma
浏览  |  Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：183/48  |  提交时间：2021/02/22
Tracking registration  augmented reality  markerless  random ferns  Lucas-Kanade (LK) optical flow.  
Electronic Nose and Its Applications: A Survey 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 179-209
作者:  Diclehan Karakaya;  Oguzhan Ulucan;  Mehmet Turkan
浏览  |  Adobe PDF(1365Kb)  |  收藏  |  浏览/下载：197/39  |  提交时间：2021/02/22
Artificial intelligence  machine learning  pattern recognition  electronic nose (EN)  sensors technology.  
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 151-178
作者:  Han Xu;  Yao Ma;  Hao-Chen Liu;  Debayan Deb;  Hui Liu;  Ji-Liang Tang;  Anil K. Jain
浏览  |  Adobe PDF(2155Kb)  |  收藏  |  浏览/下载：229/65  |  提交时间：2021/02/22
Adversarial example  model safety  robustness  defenses  deep learning.  
The Propagation Background in Social Networks: Simulating and Modeling 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 353-363
作者:  Kai Li;  Tong Xu;  Shuai Feng;  Li-Sheng Qiao;  Hua-Wei Shen;  Tian-Yang Lv;  Xue-Qi Cheng;  En-Hong Chen
浏览  |  Adobe PDF(1398Kb)  |  收藏  |  浏览/下载：140/53  |  提交时间：2021/02/22
Social network  information overload  propagation background  simulating  modeling.  
A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 3, 页码: 321-352
作者:  Madhusmita Panda;  Bikramaditya Das;  Bidyadhar Subudhi;  Bibhuti Bhusan Pati
浏览  |  Adobe PDF(2673Kb)  |  收藏  |  浏览/下载：213/54  |  提交时间：2021/02/22
Autonomous underwater vehicle (AUV)  cooperative motion  formation control  optimization  path planning (PP).